odegiber commited on
Commit
5bb6ccf
1 Parent(s): 7393820

Updated README.md

Browse files
Files changed (1) hide show
  1. README.md +20 -17
README.md CHANGED
@@ -51,7 +51,7 @@ task_ids:
51
 
52
  - **Homepage:** https://zenodo.org/record/5511667
53
  - **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
54
- - **Point of Contact:**
55
 
56
  ### Dataset Summary
57
 
@@ -59,11 +59,11 @@ The Catalan Government Crawling Corpus is a 39-million-token web corpus of Catal
59
 
60
  ### Supported Tasks and Leaderboards
61
 
62
- [More Information Needed]
63
 
64
  ### Languages
65
 
66
- The dataset is in Catalan (`ca`).
67
 
68
  ## Dataset Structure
69
 
@@ -83,57 +83,62 @@ at de Solsona: la Mare de Déu de Queralt, la Mare de Déu de Coaner i la Mare d
83
 
84
  ### Data Splits
85
 
86
- The dataset contains a single split: "train".
87
 
88
  ## Dataset Creation
89
 
90
  ### Curation Rationale
91
 
92
- [More Information Needed]
93
 
94
  ### Source Data
95
 
96
  #### Initial Data Collection and Normalization
97
 
98
- [More Information Needed]
 
99
 
100
  #### Who are the source language producers?
101
 
102
- [More Information Needed]
103
 
104
  ### Annotations
105
 
 
 
106
  #### Annotation process
107
 
108
- [More Information Needed]
109
 
110
  #### Who are the annotators?
111
 
112
- [More Information Needed]
113
 
114
  ### Personal and Sensitive Information
115
 
116
- [More Information Needed]
117
 
118
  ## Considerations for Using the Data
119
 
120
  ### Social Impact of Dataset
121
 
122
- [More Information Needed]
123
 
124
  ### Discussion of Biases
125
 
126
- [More Information Needed]
127
 
128
  ### Other Known Limitations
129
 
130
- [More Information Needed]
131
 
132
  ## Additional Information
133
 
134
  ### Dataset Curators
135
 
136
- [More Information Needed]
 
 
137
 
138
  ### Licensing Information
139
 
@@ -171,6 +176,4 @@ This work was funded by the [Catalan Ministry of the Vice-presidency, Digital Po
171
 
172
  ### Contributions
173
 
174
- Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.
175
-
176
-
 
51
 
52
  - **Homepage:** https://zenodo.org/record/5511667
53
  - **Paper:** [Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan](https://arxiv.org/abs/2107.07903)
54
+ - **Point of Contact:** [ona.degibert@bsc.es](ona.degibert@bsc.es)
55
 
56
  ### Dataset Summary
57
 
 
59
 
60
  ### Supported Tasks and Leaderboards
61
 
62
+ This corpus is mainly intended to pretrain language models and word representations.
63
 
64
  ### Languages
65
 
66
+ The dataset is in Catalan (`ca-CA`).
67
 
68
  ## Dataset Structure
69
 
 
83
 
84
  ### Data Splits
85
 
86
+ The dataset contains a single split: `train`.
87
 
88
  ## Dataset Creation
89
 
90
  ### Curation Rationale
91
 
92
+ We created this corpus to contribute to the development of language models in Catalan, a low-resource language.
93
 
94
  ### Source Data
95
 
96
  #### Initial Data Collection and Normalization
97
 
98
+ The corpus has been obtained by crawling the all the `.gencat.cat` domains during July 2020.
99
+ For preprocessing we used [Corpus-Cleaner](https://github.com/TeMU-BSC/corpus-cleaner-acl), a modular Python-based toolkit to clean raw text corpora through generator pipelines.
100
 
101
  #### Who are the source language producers?
102
 
103
+ The data comes from the official Catalan Government websites.
104
 
105
  ### Annotations
106
 
107
+ The dataset is unannotated.
108
+
109
  #### Annotation process
110
 
111
+ [N/A]
112
 
113
  #### Who are the annotators?
114
 
115
+ [N/A]
116
 
117
  ### Personal and Sensitive Information
118
 
119
+ Since all data comes from public websites, no anonymisation process was performed.
120
 
121
  ## Considerations for Using the Data
122
 
123
  ### Social Impact of Dataset
124
 
125
+ We hope this corpus contributes to the development of language models in Catalan, a low-resource language.
126
 
127
  ### Discussion of Biases
128
 
129
+ We are aware that since the data comes from public web pages, some biases may be present in the dataset. Nonetheless, we have not applied any steps to reduce their impact.
130
 
131
  ### Other Known Limitations
132
 
133
+ [N/A]
134
 
135
  ## Additional Information
136
 
137
  ### Dataset Curators
138
 
139
+ Ona de Gibert Bonet, Barcelona Supercomputing Center (ona.degibert@bsc.es)
140
+
141
+ This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of the Aina project.
142
 
143
  ### Licensing Information
144
 
 
176
 
177
  ### Contributions
178
 
179
+ Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.